Name: Jeani dos Santos da Silva Dias
Type: MSc dissertation
Publication date: 22/03/2021
Advisor:

Name Rolesort descending
Rodrigo de Alvarenga Rosa Advisor *

Examining board:

Name Rolesort descending
Rodrigo de Alvarenga Rosa Advisor *
Leandro Colombi Resendo External Examiner *
Elcio Cassimiro Alves Internal Examiner *

Summary: Oil is often produced in locations far from WHERE it will be refined and distributed. In
Brazil, most of the oil production occurs in the sea WHERE the oil is stored on platforms
until the moment of its transfer to the ports. As the capacity of the oil storage tanks on
each platform is limited, it is necessary to adopt some methodology to remove the
volume produced to maintain continuous production. The collection of oil produced by
ships is one of these methodologies and involves several operational restrictions.
Among the restrictions we can mention the type of ship that can dock at each platform
and port, the transport capacities of each ship, the need to keep different types of oil
separate on the ship, and the initial and final moment to start the withdrawal of oil in
each request to remove oil from the platform so that it does not have to stop production
if this capacity is fully occupied. The decision of which ships will collect the different
types of oils produced by each platform, in which sequence and in which ports the
ships will deliver oil, from a series of available ports, make routing difficult. To carry out
this planning, a new mathematical model is proposed considering several trips,
multiple ports, multiple holds, and the restrictions mentioned to reduce the cost of
transportation. 33 instances were created based on the largest Brazilian oil exploration
and production company. CPLEX 12.10 was used to solve the model and the reduction
in the total cost was up to 17.8% and the decrease in the total distance traveled by the
ships was up to 13.3%. The proposed method proved to be applicable to travel
planning to meet the service requests of the platforms, as well as a tool to support
strategic decisions.
Keywords: Oil Logistics. Multi Depot Vehicle Routing Problem. Multi Compartment
Vehicle Routing Problem. Vehicle Routing Problem with Multiple Routes.

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